METHOD AND SYSTEM FOR VERIFYING MULTI-SOURCE PHYSICAL ACTIVITY DATA AND GENERATING A SINGLE-USE DIGITAL REWARD BASED ON VERIFIED ACTIVITY.

TR202615131A2Pending Publication Date: 2026-09-21SİNA FURKAN AKÇAY
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Patent Information

Application Number
TR202615131
Authority / Receiving Office
TR · TR
Patent Type
Applications
Current Assignee / Owner
Filing Date
2026-09-04
Publication Date
2026-09-21
Patent Text Reader

Abstract

The invention is a method and system for verifying physical activity data and generating a one-time digital reward based only on verified activity. Time-stamped step records from a health data repository are divided into time intervals. For each interval, the reported step count is evaluated using indicators such as motion sensor pattern, recording source, temporal continuity, displacement congruence, or deviation from historical distribution to create a consistency score. Reported steps are accepted, reduced, or excluded based on this score, and a reliable step count is calculated. When the reliable step count meets a threshold condition, a time-limited, cryptographically verifiable QR code or short code is generated with an entitlement record associated with the user account and device. When the code is verified at the store terminal, the entitlement record is atomically set to used, preventing repeated or simultaneous use.This reduces technical security issues arising from artificially generated steps, duplicate data counting, and reward code copying.
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Description

VERIFICATION AND CONFIRMATION OF MULTI-SOURCE PHYSICAL ACTIVITY DATA. REGARDING THE GENERATION OF SINGLE-USE DIGITAL REWARDS BASED ON ACTIVITY METHOD AND SYSTEM Technical Field to Which the Invention Relates The invention relates to mobile computing, processing of data from motion sensors, and health data. Reliability checks, anomaly detection, and cryptographic analysis of activity logs obtained from storage facilities. verifiable digital token production and single-use at electronic points of sale. The invention relates to the technical fields of rights verification. Specifically, it concerns a notification to a user account. The step size is determined by using multiple time-coupled technical data sources. It can be used only in relation to the amount of activity that is verified and considered reliable. It relates to the creation of a digital reward token. State of the Art Health data repositories provided by mobile operating systems send daily updates to connected applications. It can provide aggregated activity information such as step count. Separately, loyalty Generating discount codes or QR codes based on the fulfillment of a condition in applications This is commonly observed. Additionally, walking activity is reflected in motion sensor data. Extracting and combining activity logs from different devices is also known. However, reliance should be placed solely on the total number of steps reported by the health data repository; device shaking, automation software, data source change, multiple occurrences of the same time interval Unfair rewards in cases such as excessive counting of sources or unusually rapid data addition. This could lead to the creation of a reward code. Sharing a screenshot of the reward code or the same code itself... The repeated use of the device on simultaneous terminals is also a separate technical security problem. The invention divides the activity log into time periods, and for each period, provides the data source, namely the movement. from pattern, time continuity, displacement compliance and device / account history indicators It creates a feature vector; generates a consistency score from this vector; verified step. The amount is determined based on this score, and the reward token is credited to the account along with the summary of the verification record. It transmits. 1 Purpose of the Invention The aim of this invention is to verify that the number of steps reported in users' health data repositories is the actual number of steps. It is automatically determined whether it represents walking activity thanks to technical elements and indicators. Identifying duplicate data records that overlap or belong to the same time interval preventing counting, adding an unusual step, physically incompatible movement Transforming the pattern and resource changes into a risk indicator, the right to a reward is only Generated through verified activity, sharing a QR code or short code, by technically preventing copying and reuse, it provides the user with The goal is to enable the creation of single-use digital rewards. Description of the Invention The system requires at least one mobile device, a health data repository interface, and an activity verification module. a feature extraction module, a risk and consistency engine, a reward server, immutable or a usage log with transaction integrity preserved, a token generation module, and Includes a store verification terminal. Activity log retrieved from the health data repository, preferably between 30 seconds and 15 minutes. It is divided into consecutive time periods that can vary. Each period has a start and end time. reported step count, data source ID, record creation time, and source trust if applicable. The level is stored. For records overlapping the same time interval, source priority, overlap rate, and record level are considered. It is uniquely identified according to the principle of integrity. At least one technical indicator for each time period. A feature vector is created using these indicators; step frequency, time between steps. distribution, accelerometer periodicity, gyroscope orientation change, location if position data is available. change / step rate, screen or device usage status, frequency of data source change, The difference between the time the record is created and the time it is transmitted to the server, and the user's history. It can be selected from the deviation values ​​from the distribution. When the number of trustworthy steps meets a campaign threshold, the reward server will issue a reward to the user. Creates an entitlement record. The entitlement record includes: user account, device binding value, campaign ID, verified period, reliable step count, build time, expiration time, and Includes usage status fields. Transfer of raw health data to the reward terminal. It's not necessary. 2 The token generation module signs at least part of the entitlement record with the server secret key. or generates a message verification code. This is done via a QR code that is updated at specific intervals in the mobile application. A single-use six-digit short code linked to the same rights registration can be displayed. QR code screen The token is short-lived and device-binding, making it difficult to share its image. Its value is associated with the account session. The store terminal QR code or short code reward It transmits the data to the server. The server receives the signature, duration, campaign, account / device link, and usage status. It checks. If the checks are positive, the entitlement is marked as "used" within a single transaction. The token is passed through and a confirmation is returned to the terminal. Subsequent or simultaneous requests for the same token. It is rejected. In the application with interrupted connection, a limited-time offline verification list is sent to the terminal. It can be provided; offline usage logs with a reconnection conflict prevention rule. They are reconciled. The general use of the invention involves the following steps. First, the user enters the health data into the repository. It grants access permission. The mobile application records the steps taken since the last synchronization. It receives them with their stamps. The verification module divides the records into five-minute segments and the source It resolves conflicts. Compatibility with existing sensor samples and growth rate compared to past profiles. is calculated. In the case where position permission is not granted, the system uses accelerometer periodicity and gyroscope. scoring based on pattern, step frequency, source consistency, and temporal insertion behavior. It produces raw sensor samples that are processed on-site and only a time-segment is sent to the server. The consistency score and cryptographic record hash are submitted. The server displays an account's step distribution over consecutive days, resource changes, reward generation, and It tracks usage times. A time period is defined by a deviation limit from user history. When it exceeds a certain threshold, the anomaly component is amplified. This profile is for technical data only and is not intended for health or diagnostic purposes. It is used for integrity and reward security purposes. Instead of raw sensor data, the reward token is filled with: time zone IDs, trusted step total, verification version, and risk level The generated cryptographic hash is linked. This allows the store terminal to access personal health data. Without seeing it, the server confirms that the award is based on a verified record. How the invention can be applied to industry. The meeting was initiated by coffee shops, retail chains, sports and health ecosystem businesses, and loyalty programs. programs, event organizers and others providing digital rights related to physical activity software, mobile devices, servers, and verification terminals in commercial or corporate systems It is capable of being produced and implemented using these methods. 3 The token generation module signs at least part of the entitlement record with the server secret key. or generates a message verification code. This is done via a QR code that is updated at specific intervals in the mobile application. A single-use six-digit short code linked to the same rights registration can be displayed. QR code screen The token is short-lived and device-binding, making it difficult to share its image. Its value is associated with the account session. The store terminal QR code or short code reward It transmits the data to the server. The server receives the signature, duration, campaign, account / device link, and usage status. It checks. If the checks are positive, the entitlement is marked as "used" within a single transaction. The token is passed through and a confirmation is returned to the terminal. Subsequent or simultaneous requests for the same token. It is rejected. In the application with interrupted connection, a limited-time offline verification list is sent to the terminal. It can be provided; offline usage logs with a reconnection conflict prevention rule. They are reconciled. The general use of the invention involves the following steps. First, the user enters the health data into the repository. It grants access permission. The mobile application records the steps taken since the last synchronization. It receives them with their stamps. The verification module divides the records into five-minute segments and the source It resolves conflicts. Compatibility with existing sensor samples and growth rate compared to past profiles. is calculated. In the case where position permission is not granted, the system uses accelerometer periodicity and gyroscope. scoring based on pattern, step frequency, source consistency, and temporal insertion behavior. It produces raw sensor samples that are processed on-site and only a time-segment is sent to the server. The consistency score and cryptographic record hash are submitted. The server displays an account's step distribution over consecutive days, resource changes, reward generation, and It tracks usage times. A time period is defined by a deviation limit from user history. When it exceeds a certain threshold, the anomaly component is amplified. This profile is for technical data only and is not intended for health or diagnostic purposes. It is used for integrity and reward security purposes. Instead of raw sensor data, the reward token is filled with: time zone IDs, trusted step total, verification version, and risk level The generated cryptographic hash is linked. This allows the store terminal to access personal health data. Without seeing it, the server confirms that the award is based on a verified record. How the invention can be applied to industry. The meeting was initiated by coffee shops, retail chains, sports and health ecosystem businesses, and loyalty programs. programs, event organizers and others providing digital rights related to physical activity software, mobile devices, servers, and verification terminals in commercial or corporate systems It is capable of being produced and implemented using these methods. 3

Claims

1. Verification of a user's physical activity data and a single payment based on the verified activity. It is a computer-based method for generating digital rewards for use; its characteristic feature is: Step logs from a health data repository, including timestamps and data source information. taking; separating step records into consecutive time intervals; for each time interval, Reported step count, at least one motion sensor indicator, and a record integrity indicator. Creating a feature vector using; extracting the relevant time period data from the feature vector Calculating a consistency score; accepting the reported step quantity according to the consistency score. Determining the safe step quantity by removing, reducing or excluding; If the number of reliable steps satisfies a predefined threshold condition, the user Creating a reward entitlement record linked to the account and device binding value; reward entitlement record a cryptographically verifiable single value containing the associated expiration time and random value Generating a usable reward token; and receiving the reward token from a validation terminal. In response to its receipt, it was verified and the right to register was used atomically. It is characterized by including the steps involved in its implementation.

2. The method according to claim 1 has the following characteristics: feature vector; step frequency, inter-step time. distribution, accelerometer periodicity, gyroscope orientation change, displacement / step ratio, data source change frequency, difference between record creation and transmission time, and past users It is characterized by including at least two indicators of deviation from the distribution.

3. The method is based on claim 1 or 2 and its characteristic is that it uses different data spanning the same time interval. using the source priority and temporal overlap ratio of the step logs belonging to the sources It is characterized by its singularization.

4. The method according to Claim 1 is characterized by its normalized confidence level of the consistency score. weighted sum of indicators normalized to weighted anomaly indicators It is characterized by being determined by subtracting the sum.

5. Method according to claim 1 or 3, characterized by its consistency score, verified walking. by a classifier trained using examples of artificial motion. It is characterized by its production. 4 6. The method according to claim 1 is characterized by its reliable step quantity, which is the reported step quantity. It is characterized by being determined by multiplying the consistency score by a weighting function.

7. The method, according to claim 1, is characterized by its ability to process raw motion sensor data on the mobile device. characterized by processing and sending the time period summary and consistency score to the server. It is done.

8. The method according to Claim 1 is characterized by; reward entitlement registration; campaign ID, verified. period, number of trusted steps or its cryptographic hash, generation time, end It is characterized by including fields for time of use, nonce, and usage status.

9. The method according to Claim 1 is characterized by a reward token that is renewed at specific intervals via a QR code. It is characterized by being displayed on a mobile device in code format.

10. The method is based on Claim 1 and its characteristic is that it is a single-use method linked to the same reward entitlement registration as a QR code. It is characterized by the creation of a short numerical code.

11. The method according to claim 1 is characterized by; for the reward token received from the verification terminal. signature or message verification code, expiration time, user account or device link, and It is characterized by checking the usage status.

12. The method according to Claim 1 is characterized by the transfer of the reward entitlement record to the "used" status. The transmission of confirmation to the verification terminal, simultaneous use directed towards the same rights record. in an atomic server process that allows only one of the requests to be approved It is characterized by its implementation.

13. It is a physical activity verification and digital reward system with the feature of being a health data repository. The interface features a function that processes motion data received from the mobile device on a time-by-time basis. The extraction module generates a consistency score and a reliable step quantity from the feature vector, based on risk. and consistency engine, reward entitlement record created based on verified activity threshold. the server links the entitlement to the device or user account and provides timed, single-use rewards. The token generation module that creates the token stores the usage status of the entitlement record. Store verification that verifies usage log and reward token via the server. It is characterized by a system that includes a terminal.

14. The system, according to claim 13, is characterized by its risk and consistency engine, and its function is to detect suspicious time. to reduce or exclude slices without invalidating the entire logging It is characterized by its structure.

15. The system is defined according to claim 13 or 14; its characteristic is that the usage log is the same as the reward entitlement log. simultaneous usage requests from multiple authentication terminals for It is characterized by its structure, which aims to create a singular system.

16. System feature according to either claim 13 or 15; store verification. Cryptographic hash of verification record before raw health data is transferred to terminal It is characterized by the confirmation of award eligibility through this process.

17. A physical activity verification and digital reward system with the feature of; One or more when executed by the processor, processors in any of requests 1 through 12 non-volatile computer commands that cause the method to be executed It is characterized by its readable recording medium. 6